Table 2.

Multinomial logistic regression analysis of factors associated with mobility category

	Neighborhood mobility	No mobility (stayed home)	Citywide mobility
Variables	RRR 95% CI	RRR 95% CI	RRR 95% CI
Female (vs male) gender		1.577**	0.402**
	REF	(1.159—2.144)	(0.312—0.519)
Age category
35–44 years (REF)	REF	REF	REF
< 24 years		1.213	0.579**
		(0.852—1.728)	(0.406—0.826)
25–34 years		0.870	0.987
		(0.597—1.269)	(0.700—1.390)
45 + years		0.937	0.810
		(0.661—1.329)	(0.585—1.119)
Quintiles of wealth
Poorest (REF)	REF	REF	REF
Poorer		1.088	0.826
		(0.685—1.728)	(0.508—1.343)
Middle		2.896**	1.184
		(1.294—6.480)	(0.572—2.451)
Wealthier		3.065**	1.251
		(1.350—6.959)	(0.601—2.605)
Wealthiest		2.577*	1.097
		(1.002—6.623)	(0.476—2.531)
Perceived risk of COVID-19
Low/no risk (REF)	REF	REF	REF
Medium risk		0.754	1.330
		(0.540—1.053)	(0.959—1.844)
High risk		0.615**	0.848
		(0.451—0.838)	(0.624—1.152)
Complete loss of income	REF	1.713**	0.494**
		(1.311—2.237)	(0.378—0.645)
Avoid public transportation due to COVID-19	REF	0.816	0.296**
		(0.581—1.147)	(0.226—0.388)
Informal settlement
Kibera (REF)	REF	REF	REF
Dandora		0.461	1.175
		(0.203—1.045)	(0.565—2.441)
Huruma		1.207	1.445
		(0.754—1.930)	(0.877—2.380)
Kariobangi		0.561	1.608
		(0.254—1.238)	(0.793—3.261)
Mathare		0.346**	1.562
		(0.156—0.768)	(0.785—3.109)

^**p < 0.01, * p < 0.05